Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking a highly skilled Data Scientist with solid experience in big data processing, distributed computing, and cloud-based analytics platforms. The ideal candidate will work closely with engineering, product, and business teams to build scalable data pipelines, derive actionable insights, and support data-driven decision making across the organization.
This role requires hands-on expertise in Spark, Scala, Python, SQL, and Azure Databricks, along with solid knowledge of data orchestration, version control, and CI/CD practices.
Primary Responsibilities:
- Design, develop, and optimize large-scale data processing pipelines using Apache Spark (Scala/Python) and Azure Databricks
- Perform data analysis, feature engineering, and dataset preparation on structured and unstructured data
- Build and maintain ETL workflows using Apache Airflow for reliable data scheduling and orchestration
- Write efficient and scalable code in Scala, Python, and Java for data transformations and analytics
- Work with relational and NoSQL databases such as SQL databases and MongoDB to support analytical use cases
- Leverage Hadoop ecosystem components for distributed data storage and processing
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
- Use GitHub for source control and GitHub Actions for CI/CD automation and quality checks
- Follow Agile delivery practices using tools such as Rally for sprint planning and tracking
- Perform data validation, performance tuning, and troubleshooting in Linux-based environments
- Ensure data quality, reliability, security, and compliance with enterprise standards
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- B. Tech and/or MS in computer science or equivalent
- 3+ years of experience in Data Scientist
- Hands-on expertise in Spark, Scala, Python, SQL, and Azure Databricks, along with solid knowledge of data orchestration, version control, and CI/CD practices
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
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